Advanced Occupational Certificate: Business Intelligence Analyst
Purpose:
Sources: SAQA official qualification record, SAQA registered qualifications record. Yiba Verified does not own the underlying qualification data shown on this page.
Qualification type
Advanced Occupational Cert
Credits
179
Sub-framework
OQSF - Occupational Qualifications Sub-framework
Providers listed
0
Qualification snapshot
Official qualification identity fields captured from the qualification record.
Originator
Development Quality Partner-MICT SETA
Quality assurance functionary
QCTO - Quality Council for Trades and Occupations
Field
Field 10 - Physical, Mathematical, Computer and Life Sciences
Subfield
Information Technology and Computer Sciences
Qual class
Regular-ELOAC
Recognise previous learning
Y
Important dates
These dates are carried directly from the qualification record.
Registration start
2025-11-13
Registration end
2029-11-13
Last date for enrolment
2030-11-13
Last date for achievement
2033-11-13
Purpose and entry context
Official SAQA text formatted for easier reading.
Purpose and rationale
Purpose
The purpose of this qualification is to prepare a learner to function as a Business Intelligence Analyst. A Business Intelligence Analyst analyses and interprets complex data to help organisations make informed decisions; transform raw data into actionable insights that drive strategy and improve operational efficiency.
A qualified learner will be able to
- Collect, analyse, and interpret large, complex datasets for identifying trends.
- Design and deliver clear, interactive dashboards, reports, and visualisations leveraging BI tools for communicating findings effectively to stakeholders.
- Transform raw data into actionable insights that drive strategy, improve operational efficiency, and enhance efficiency of business processes and functionality.
The qualification equips learners with skills to analyse data effectively, create actionable insights, and support data-driven decision-making. By mastering tools like Power Business Intelligence and Tableau, learners enhance career prospects, improve organisational efficiency, and contribute to strategic planning that is data-driven. It empowers learners to harness the power of data, enabling them to make meaningful contributions in any data-driven organisation, make informed decisions, and create value in an organisation.
Typical graduate attributes include
- Analytical, Communication, Critical thinking, Meticulous, Strategic, Problem-solving, Adaptable, Technical.
Rationale
Business Intelligence provides for strategies, technologies, and tools used by organisations to collect, analyse, and interpret data to inform business decision-making. By leveraging Business Intelligence, businesses can transform raw business data into actionable insights to identify trends, measure performance, reduce costs and optimise operations. Business Intelligence systems often include data visualisation tools, dashboards, and reporting features that help stakeholders process complex datasets. These insights drive strategic planning, improve customer experiences, and uncover opportunities for growth. In today's competitive landscape, effective use of Business Intelligence empowers organisations to stay agile, make data-driven decisions and maintain a competitive edge.
It enhances decision-making at all levels by providing accurate, real-time insights that support strategic planning and problem-solving. Business Intelligence also fosters a deeper understanding of customer behaviour, helping organisations tailor products, services, and marketing strategies to meet evolving demands. Moreover, it facilitates better collaboration across departments and organisations by providing a single source of truth for data. Ultimately, Business Intelligence is a key driver for innovation, growth, and maintaining a competitive edge in the marketplace.
Similar Qualification(s), Part-Qualifications/Skills Programmes
- Occupational Certificate: Data Science Practitioner, NQF Level 05.
The sector benefits immensely from this qualification as it empowers organisations with the ability to transform raw data into actionable insights. This expertise enhances decision-making by providing a clear understanding of market trends, customer behaviour, and operational performance across all sectors and industries of the economy. This qualification will play a key role in optimizing business processes, reducing inefficiencies, and driving cost savings, which directly improve profitability. Their ability to forecast trends and identify growth opportunities gives companies / organisations a competitive edge in rapidly changing markets. Moreover, the qualification facilitates strategic planning and innovation, enabling businesses to adapt quickly to challenges and capitalise on emerging opportunities, ultimately strengthening the sector's overall resilience and success.
This qualification will help businesses develop and provide better products and services tailored to consumer needs, enhancing overall quality of life. It promotes transparency and accountability by fostering data-driven practices that ensure ethical operations. It empowers individuals to identify growth opportunities, job opportunities and enhancing job satisfaction. The qualification bridges the gap between data and meaningful action, creating a more informed, efficient, and equitable society.
The qualification benefits the economy in that it drives data-driven efficiency and innovation across industries. Organisations optimise processes, reduce waste, and improve productivity, Business Intelligence Analysts contribute to economic growth and resource efficiency. The insights support businesses in identifying new opportunities and market trends, fostering entrepreneurship and expansion, particularly for small and medium enterprises (SMEs). This creates job opportunities and encourages investment in high-demand skills, boosting workforce development and employability. Data-informed decision-making by businesses and policymakers enhances economic stability and resilience, ensuring better allocation of resources and more effective policy interventions to address societal and market challenges.
Typical learners include graduates, career professionals, entrepreneurs and small business owners.
Collaboration with relevant stakeholders
- Skills Development Providers.
- Employers.
- Practitioners.
- Institutions of Education.
Typical occupations in which the qualifying learner will operate (if relevant)
- Data Analyst.
- Reporting Analyst.
- Performance Analyst.
- Marketing Analyst.
- Sales Analyst.
- Financial Analyst.
- Customer insights Analyst.
- Operations Analyst.
- Healthcare Analyst.
Collaboration with relevant stakeholders
- Skills Development Providers.
- Employers.
- Practitioners.
- Institutions of Education.
Typical professions in which the qualifying learner will operate (if relevant)
- " Data Analyst.
- Reporting Analyst.
- Performance Analyst.
- Marketing Analyst.
- Sales Analyst.
- Financial Analyst.
- Customer insights Analyst.
- Operations Analyst.
- Healthcare Analyst.
Entry requirements and RPL
Recognition of Prior Learning (RPL)
RPL for Access to Training
Learners may use the RPL process to gain access to training opportunities for a qualification if they do not meet the formal, minimum entry requirements for admission. RPL assessment provides an alternative access route into a qualification.
Such an RPL assessment may be developed, moderated and conducted by the accredited Skills Development Provider which offers that specific qualification. Such an assessment must ensure that the learner is able to display the equivalent level of competencies required for access, based on the NQF level descriptors. For exemption from modules through RPL, learners who have gained the stipulated competencies of the modules of qualification through any means of formal, informal or non-formal learning and/or work experience, may be awarded credits towards relevant modules, and gaps identified for training, which is then concluded.
RPL for Access to the External Integrated Summative Assessment (EISA)
Learners who have gained the stipulated competencies of the modules of a qualification through any means of formal, informal or non-formal learning and/or work experience, may be awarded credits towards relevant modules, and gaps identified for training, which is then concluded. A valid Statement of Results is required for admission to the EISA in which confirmation is provided that all internal assessment criteria for all modules in the related curriculum document have been achieved.
Upon successful completion of the EISA, RPL learners will be issued with the QCTO certificate for the qualification. Quality Partners are responsible for ensuring the RPL mechanism and process for qualifications is approved by the QCTO.
Entry Requirements
An NQF Level 05 qualification.
Replacement note
This qualification does not replace any other qualification and is not replaced by any other qualification.
Structure and assessment
Qualification rules, exit outcomes, and assessment criteria from the SAQA record.
Qualification rules
This qualification is made up of compulsory Knowledge, Practical Skill and Work Experience Modules
Knowledge Modules
- 251102-003-00-KM-01: Data Analysis for Business Intelligence, NQF Level 6, 4 Credits.
- 251102-003-00-KM-02: Insight Generation, NQF Level 6, 8 Credits.
- 251102-003-00-KM-03: Report Creation and Visualisation, NQF Level 6, 6 Credits.
- 251102-003-00-KM-04: Introduction to Big Data as it relates to Business Intelligence, NQF Level 5, 4 Credits.
- 251102-003-00-KM-05: Business Intelligence, NQF Level 6, 8 Credits.
- 251102-003-00-KM-06: Business Foundations and Processes for Business Intelligence Analysts, NQF Level 6, 4 Credits.
- 251102-003-00-KM-07: Ethics in Business Intelligence, NQF Level 6, 1 Credit.
- 251102-003-00-KM-08: Business Intelligence and Artificial Intelligence, NQF Level 6, 4 Credits.
- 251102-003-00-KM-09: Statistics for Business Intelligence, NQF Level 5, 4 Credits.
- 251102-003-00-KM-10: Mathematics for Business Intelligence, NQF Level 5, 4 Credits.
- 251102-003-00-KM-11: Collaboration and Stakeholder Communication, NQF Level 6, 3 Credits.
- 251102-003-00-KM-12: Governance, NQF Level 6, 2 Credits.
- 251102-003-00-KM-13: Dealing with Complex Problems, NQF Level 6, 2 Credits.
Total number of credits for Knowledge Modules: 54
Practical Skill Modules
- 251102-003-00-PM-01: Collect, Integrate and Manage Data, NQF Level 6, 16 Credits.
- 251102-003-00-PM-02: Conduct Performance Monitoring and Metrics Tracking, NQF Level 6, 17 Credits.
- 251102-003-00-PM-03: Generate Business Intelligence Insights and Solutions, NQF Level 6, 24 Credits.
- 251102-003-00-PM-04: Improve Business Processes, NQF Level 6, 24 Credits.
Total number of credits for Practical Skill Modules: 81
Work Experience Modules
- 251102-003-00-WM-01: Data Analysis Processes, NQF Level 6, 12 Credits.
- 251102-003-00-WM-02: Business Intelligence Visualisation Systems, NQF Level 6, 12 Credits.
- 251102-003-00-WM-03: Business Intelligence Integrity Processes, NQF Level 6, 12 Credits.
- 251102-003-00-WM-04: Business Intelligence Reporting and Communication Procedures, NQF Level 6, 8 Credits.
Total number of credits for Work Experience Modules: 44
Exit level outcomes
- Perform data collection, integration, and management.
- Analyse data for business intelligence solutions.
- Create dashboards, visualisations and reports.
- Analyse business processes for performance improvement and optimisation.
- Communicate insights and strategic recommendations.
Associated assessment criteria
Associated Assessment Criteria for Exit Level Outcome 1
ELO 1: Perform data collection, integration, and management.
- Gather and extract data from multiple sources, such as databases, spreadsheets, Application Programming Interfaces (APIs) and external platforms.
- Manage data integrity by cleaning, transforming, and integrating data into a centralised system or data warehouse.
- Process and structure data to enable efficient retrieval and analysis for business decision-making.
- Maintain data security and compliance with relevant regulations and best practices to safeguard sensitive information.
Associated Assessment Criteria for Exit Level Outcome 2
ELO 2: Analyse data for business intelligence solutions.
- Conduct data integrity checks and data validity checks to assess the reliability and accuracy of data.
- Perform exploratory and statistical data analyses to identify trends, patterns, and correlations.
- Apply appropriate analytical techniques and tools (e.g., regression, clustering, forecasting) to extract actionable insights.
- Use statistical methods and tools to interpret data and draw meaningful conclusions that align with business objectives.
- Evaluate the effectiveness of analytical models and techniques in addressing business challenges.
- Propose data-driven solutions to optimise business operations and business processes.
Associated Assessment Criteria for Exit Level Outcome 3
ELO 3: Create dashboards, visualisations and reports.
- Develop interactive dashboards, visualisations, and reports using business intelligence tools (e.g., Tableau, Power BI, Qlik).
- Visualisation techniques to effectively identify and communicate key insights, trends, and relationships within data.
- Tailor comprehensive reports to different stakeholders, ensuring clarity and relevance for sharing insights.
- Deliver interactive presentations and generate reports for efficient data dissemination to a diverse audience.
Associated Assessment Criteria for Exit Level Outcome 4
ELO 4: Analyse business processes for performance improvement and optimisation.
- Define key performance indicators (KPIs) and metrics to measure business performance.
- Leverage workflow and process mapping tools, such as Lucidchart, Microsoft Visio, or BPMN to visualise and optimise processes.
- Analyse workflows; and identify dependencies and inefficiencies.
- Monitor metrics over time, and insights are provided on areas for improvement or growth opportunities.
- Conduct cost-benefit analyses to evaluate the effectiveness of initiatives and optimisation strategies
Associated Assessment Criteria for Exit Level Outcome 5
ELO 5: Analyse business processes for performance improvement and optimisation.
- Translate data insights are translated into actionable recommendations for business strategy and operations.
- Align business Intelligence solutions with organisational goals and business processes to enable data-driven decision-making.
- Support the Business Intelligence strategy by ensuring continuous improvement and alignment with business needs.
> Engage teams to assess required resources, employees, equipment, and facilities.
Integrated Assessment
Formative Assessments conducted internally
Formative assessments are conducted throughout the training of learners. A range of formal, non-formal, and informal ongoing assessment activities are used to focus on teaching and learning outcomes to improve learner attainment.
Formative assessments are conducted continuously by the facilitator to feed into further learning, to identify strengths and weakness, and to ensure the learner's ability to apply knowledge, skills and workplace experience gained.
Formative Assessments are conducted by the accredited Skills Development Provider (SDP), and a variety of ongoing assessment methods may be used, for example, quizzes, assignments, tests, scenarios, role play, and interviews. Continuous feedback must be provided.
Integrated Summative Assessments conducted internally
Integrated Assessment involves all the different types of assessment tasks required for a particular qualification, such as written assessment of theory and practical demonstration of competence. To achieve this, the Internal Assessment Criteria (IAC) for all modules as found in the QCTO curriculum document must be followed.
An accredited SDP should implement a well-designed, formal, relevant, final internal Summative Assessment strategy for all modules to prepare learners for the EISA. These assessments evaluate learning achievements relating to the achievement of each module of the relevant components of the qualification.
Internal Summative Assessments are developed, moderated and conducted by the SDP at the end of each module or after integration of relevant modules, e.g. applied knowledge tests, workplace tasks, practical demonstrations, simulated tasks/demonstrations, projects, case studies, etc.
The results of these final formal summative assessments must be recorded. These results, which include the Statement of Work Experience results, where applicable, contribute to the Statement of Results (SoR) that is a requirement for admission to the EISA. An SoR, using the template provided by the Quality Partner, is issued by the accredited SDP for qualifications. The SDP must produce a valid Statement of Results for each learner, indicating the final result and the date on which the competence in each module, of each component, was achieved. Learners are required to produce this SoR, together with their ID document or alternative ID document, at the point of the EISA.
External Integrated Summative Assessment (EISA) - a national assessment
The Quality Partner is responsible for the management, conduct and implementation of the External Integrated Summative Assessment (EISA), in accordance with QCTO set standards. Competence in the EISA is a requirement for certificating a learner.
For entrance into the EISA, the learner requires a valid Statement of Results issued by the accredited institution indicating:
The attainment of all the Knowledge, Practical and Work Experience modules
OR
The attainment of all modules for the Knowledge and Application Components.
Progression and comparability
Articulation options
This qualification provides opportunities for horizontal, vertical and diagonal articulation options.
Horizontal Articulation
- Advanced Occupational Certificate: Franchise Manager, NQF Level 06.
- Advanced Certificate in Business Innovation Management, NQF Level 06.
Vertical Articulation
All articulation possibilities will reach the registration end date in December 2025.
Diagonal Articulation
Bachelor of Business Administration, NQF Level 07.
International comparability
The comparability was conducted with qualifications in the Canada and Australia.
Country: Canada
Institution: Ontario College (Newnham Campus, Toronto)
Qualification title: The Graduate Certificate in Business Analytics
Level 06
Duration: One year
The entry requirements into the qualification are as follows
- A university or college degree, college diploma, or advanced diploma, or an equivalent qualification.
- Applicants with partial postsecondary education and significant relevant work experience may also be considered, but they must submit a resume and references.
- Proficiency in English at the post-secondary level is required.
Purpose
The Graduate Certificate in Business Analytics is equivalent to Level 6, the duration is one (1) year, and the method of delivery is contact and online/hybrid as either a full time or part-time qualification. This qualification prepares graduates for roles as Business Analysts, Data Analysts, Business Consultants, and Information Systems Analysts. Additional features include hands-on projects, a capstone project, and eligibility for a Statistical Analysis Software for Academic Specialisation.
Modules
- Data collection
- Preparation
- Analy
- Visualization to support evidence-based decision-making across various industries.
Key Learning Areas
- Statistical Analysis - Understanding the fundamentals of statistics for data-driven decision-making.
- Programming for Analytics - Hands-on experience with Python, SQL, and other industry-standard tools.
- Data Management - Techniques for organizing and manipulating large datasets effectively.
- Predictive Analytics - Using machine learning and statistical models to forecast business trends.
- Security and Privacy - Addressing data protection, privacy regulations, and ethical considerations.
- Business Intelligence and Visualization - Communicating insights through tools like Tableau and Power BI.
- Leadership and Strategy - Developing managerial and entrepreneurial strategies for business growth.
Additional delivery features are
- Industry-relevant capstone project to apply learned skills.
- Networking with professionals and real-world case studies.
Similarities
- Both qualifications exit at Level 6, with one (1) year duration, require a post-school qualification as entry requirement, consider Recognition of Prior Learning and the mode of delivery is either contact, online or hybrid/blended.
- The content for both the qualifications is similar and shared elements are data management, analytics, statistics, business intelligence and visualisation, security and privacy, and the use of software programmes such as Python or SQL.
- Both qualifications include a capstone project as practical component.
Differences
- The South African qualification includes elements of Applied Mathematics, business processes and Big Data, which are not included in the Canadian qualification.
- The qualification has no structured work experience component.
- The entry requirements for the South African qualification is an NQF Level 05 qualification whereas the entry requirements for the Canadian qualification are an Advanced Diploma, College degree etc.
Country: Australia
Institution: Western Sydney University
Qualification title: The Advanced Diploma of Information Technology (Business Analysis)
Level: 06
Purpose
This qualification equips learners with advanced skills in Information Technology business analysis, strategic planning and digital transformation. This qualification is designed for professionals who aim to bridge the gap between business needs and IT solutions, ensuring that technology effectively supports business objectives.
The qualification has no specific entry requirements. The qualification is delivered through a combination of classroom learning, online modules, and practical industry projects. This qualification is ideal for professionals seeking to enhance expertise in business analysis, optimize business-Information Technology alignment, and drive digital transformation in various industries.
The qualification comprises of nine (9) core units and six (6) elective units. Key learning areas include
- Business Analysis Techniques - Application of industry-standard methodologies to assess business problems and define IT solutions.
- Project Management - Managing IT projects using Agile, Scrum, and other frameworks to ensure timely and effective delivery.
- Enterprise Systems and Integration - Manage the development of technical solutions from business specifications.
. Data Analytics and Decision-Making - Using data-driven insights to improve business operations and strategies.
- Cybersecurity and Risk Management - Identifying IT security risks and implementing mitigation strategies.
- Stakeholder Engagement and Communication - Effective communication with technical teams, executives, and end-users to ensure alignment between business goals and IT solutions.
- Emerging Technologies - Exploration of AI, automation, and cloud computing trends in business environments.
Similarities
- Both qualifications exit at Level 6, with one (1) year duration, the mode of delivery is either contact, online or hybrid/blended.
- Both the Australian and South African qualifications' content is similar and shared elements are business analysis, data management, data analysis and decision-making, business intelligence, business process / systems, stakeholder communication and governance.
Differences
- The South African qualification specifies work experience, includes elements of applied mathematics, and Big Data and the use of software programmes such as Python or SQL, which are not included in the Australian qualification.
- There are no entry requirements specified for the Australian qualification whereas the entry requirements for the South African qualification is NQF Level 05 qualification.
Conclusion
The comparison highlighted several similarities, thus concluded that the Advanced Occupational Certificate: Business Intelligence Analyst compares favourably with the identified international qualifications regarding content, purpose and modes of delivery.
Providers currently listed
This reflects provider names published on the official record. It is useful for qualification discovery, but it should not be treated as a substitute for checking the relevant quality body’s latest provider status.
No provider listing was captured on this qualification record.
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